checkpoint

This model is a fine-tuned version of Snowflake/snowflake-arctic-embed-m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5333
• Precision: 0.7430
• Recall: 0.8107
• F1 Macro: 0.7754
• Accuracy: 0.6869

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0003
• train_batch_size: 256
• eval_batch_size: 128
• seed: 0
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1 Macro	Accuracy
No log	0	0	0.7078	0.6947	0.2789	0.3980	0.4377
0.5066	14.4928	1000	0.5333	0.7430	0.8107	0.7754	0.6869

Framework versions

• Transformers 4.51.1
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1